About Ian Maurer¶
I'm the Chief Technology Officer at GenomOncology, a precision oncology startup based in Cleveland, Ohio. I focus on building AI-powered systems that help oncologists make better treatment decisions using genomic data.
Background¶
My career spans software engineering, data science, and biotechnology. I'm passionate about the intersection of artificial intelligence and genomics, particularly how AI can accelerate medical discoveries and improve patient outcomes.
At GenomOncology, I lead the development of platforms that analyze genomic variants and connect them to therapeutic insights, helping oncologists understand complex molecular data and translate it into actionable treatment recommendations.
Areas of Expertise¶
AI & Machine Learning - Large Language Models (LLMs) and their applications in healthcare - Biomedical data extraction and analysis - Constrained generation and grammar-based LLM guidance - AI tool integration and workflow automation
Genomics & Bioinformatics - HGVS variant notation and analysis - Precision oncology data platforms - Clinical genomics workflows - Biomedical knowledge graphs
Software Architecture - High-performance systems design - Developer tooling and productivity - API design and integration - Modern web technologies
Open Source Projects¶
I maintain several open-source projects focused on developer productivity and bioinformatics:
- biomcp: Biomedical MCP toolkit for AI assistants
Speaking & Media¶
I regularly speak about AI, genomics, and healthcare technology:
Recent Appearances: - Talk Python to Me #456 - Building GPT Actions with FastAPI (Jan 2024) - Focus on Talent Podcast - AI in Healthcare (Mar 2024) - Talk Python to Me #154 - Python in Biology and Genomics (Feb 2018)
Technical Presentations: - Grounding Medical Q&A using ChatGPT plugins and Knowledge Graphs (YouTube) - Clinco-Genomic Data Analysis using Metabase and GenomOncology (YouTube) - What is a VCF File (YouTube)
Writing Philosophy¶
I write about the practical applications of emerging technologies, particularly AI and genomics. My posts tend to focus on:
- Real-world implementations rather than theoretical concepts
- The intersection of AI and domain-specific knowledge
- Developer tools and productivity enhancements
- The human elements that remain crucial as AI capabilities expand
I believe that the most interesting technological advances happen at the intersection of disciplines - where AI meets biology, where developer tools meet domain expertise, and where theoretical capabilities meet practical constraints.
Connect¶
Feel free to reach out if you're interested in AI applications in healthcare, genomics, or developer productivity tools.